Simard R R, Ziadi N, Nolin M C, Cambouris A N
Soil Science Department, University of Manitoba, Winnipeg, Canada.
ScientificWorldJournal. 2001 Nov 9;1 Suppl 2:135-41. doi: 10.1100/tsw.2001.329.
Soil nitrogen mineralization potential (N min) has to be spatially quantified to enable farmers to vary N fertilizer rates, optimize crop yields, and minimize N transfer from soils to the environment. The study objectives were to assess the spatial variability in soil N min potential based on clay and organic matter (OM) contents and the impact of grouping soils using these criteria on corn grain (Zea mays L.) yield, N uptake response curves to N fertilizer, and soil residual N. Four indicators were used: OM content and three equations involving OM and clay content. The study was conducted on a 15-ha field near Montreal, Quebec, Canada. In the spring 2000, soil samples (n = 150) were collected on a 30- x 30-m grid and six rates of N fertilizer (0 to 250 kg N ha(-1)) were applied. Kriged maps of particle size showed areas of clay, clay loam, and fine sandy loam soils. The N min indicators were spatially structured but soil nitrate (NO3-) was not. The N fertilizer rate to reach maximum grain yield (N max), as estimated by a quadratic model, varied among textural classes and Nmin indicators, and ranged from 159 to 250 kg N ha(-1). The proportion of variability (R2) and the standard error of the estimate (SE) varied among textural groups and N min indicators. The R2 ranged from 0.53 to 0.91 and the SE from 0.13 to 1.62. Corn grain N uptake was significantly affected by N fertilizer and the pattern of response differed with soil texture. For the 50 kg N ha(-1) rate, the apparent N min potential (ANM) was significantly larger in the clay loam (122 kg ha(-1)) than in the fine sandy loam (80 kg ha(-1)) or clay (64 kg ha(-1)) soils. The fall soil residual N was not affected by N fertlizer inputs. Textural classes can be used to predict N max. The N min indicators may also assist the variable rate N fertilizer inputs for corn production.
必须对土壤氮矿化潜力(N min)进行空间量化,以便农民能够调整氮肥施用量、优化作物产量,并尽量减少氮从土壤向环境的转移。本研究的目的是基于黏土和有机质(OM)含量评估土壤N min潜力的空间变异性,以及使用这些标准对土壤进行分组对玉米籽粒(Zea mays L.)产量、氮肥氮吸收响应曲线和土壤残留氮的影响。使用了四个指标:OM含量以及三个涉及OM和黏土含量的方程。该研究在加拿大魁北克省蒙特利尔附近一块15公顷的田地上进行。2000年春季,在30×30米的网格上采集了土壤样本(n = 150),并施用了六种氮肥施用量(0至250千克氮公顷⁻¹)。粒度的克里格图显示了黏土、黏壤土和细砂壤土区域。N min指标具有空间结构,但土壤硝酸盐(NO₃⁻)没有。通过二次模型估计,达到最大籽粒产量的氮肥施用量(N max)在不同质地类别和N min指标之间有所不同,范围为159至250千克氮公顷⁻¹。变异比例(R²)和估计标准误差(SE)在不同质地组和N min指标之间有所变化。R²范围为0.53至0.91,SE范围为0.13至1.62。玉米籽粒氮吸收受到氮肥的显著影响,响应模式因土壤质地而异。对于50千克氮公顷⁻¹的施用量,黏壤土(122千克氮公顷⁻¹)中的表观N min潜力(ANM)显著大于细砂壤土(80千克氮公顷⁻¹)或黏土(64千克氮公顷⁻¹)土壤。秋季土壤残留氮不受氮肥输入的影响。质地类别可用于预测N max。N min指标也可能有助于玉米生产中可变施氮量的输入。